A Marginal Structural Model Approach to Analyse Work-Related Injuries: An Example Using Data from the Health and Retirement Study

Details

• Personal Author:
  Baidwan NK ; Capistrant B ; Church T ; Gerberich, Susan G. ; Kim H ; Ryan, Andrew D.
• Description:
  Background: Biases may exist in the limited longitudinal data focusing on work-related injuries among the ageing workforce. Standard statistical techniques may not provide valid estimates when the data are time-varying and when prior exposures and outcomes may influence future outcomes. This research effort uses marginal structural models (MSMs), a class of causal models rarely applied for injury epidemiology research to analyse work-related injuries. Methods: 7212 working US adults aged >=50 years, obtained from the Health and Retirement Study sample in the year 2004 formed the study cohort that was followed until 2014. The analyses compared estimates measuring the associations between physical work requirements and work-related injuries using MSMs and a traditional regression model. The weights used in the MSMs, besides accounting for time-varying exposures, also accounted for the recurrent nature of injuries. Results: The results were consistent with regard to directionality between the two models. However, the effect estimate was greater when the same data were analysed using MSMs, built without the restriction for complete case analyses. Conclusions: MSMs can be particularly useful for observational data, especially with the inclusion of recurrent outcomes as these can be incorporated in the weights themselves. [Description provided by NIOSH]
• Subjects:
  Aging Cohort Studies Epidemiology Occupational Health Safety
• Keywords:
  Age Groups Aging Workforce Cohort Studies Injuries Statistical Analysis
• ISSN:
  1353-8047
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; Minnesota ; OSHA Region 1 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  248-253
• Volume:
  26
• Issue:
  3
• NIOSHTIC Number:
  nn:20057447
• Citation:
  Inj Prev 2020 Jun; 26(3):248-253
• Contact Point Address:
  Professor Susan Goodwin Gerberich, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis MN 55455, USA
• Email:
  gerbe001@umn.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  University of Minnesota Twin Cities
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Injury Prevention
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2bd2153c626c9e88c03c77c93f4522c499cbec6f9acd875794ff06aec423f85ddd03d42b42972fe4a37eab9d6b734680b099442cdd1b7a7cd02aad6084fa72ca
• Download URL:
  https://stacks.cdc.gov/view/cdc/214801/cdc_214801_DS1.pdf
• File Type:
  [PDF - 472.94 KB ]